diff --git a/src/evaluate/module.py b/src/evaluate/module.py
index b13faccdb..1ec0e4cfc 100644
--- a/src/evaluate/module.py
+++ b/src/evaluate/module.py
@@ -559,7 +559,7 @@ def _infer_feature_from_example(self, example):
                     self._enforce_nested_string_type(features, example)
                     features.encode_example(example)
                     return features
-                except ValueError:
+                except (ValueError, TypeError):
                     continue
         feature_strings = "\n".join([f"Feature option {i}: {feature}" for i, feature in enumerate(self.features)])
         error_msg = (
diff --git a/tests/test_metric.py b/tests/test_metric.py
index c76b9de97..07c1e241b 100644
--- a/tests/test_metric.py
+++ b/tests/test_metric.py
@@ -554,6 +554,16 @@ def test_multiple_features(self):
         preds, refs = DummyMetric.predictions_and_references()
         expected_results = DummyMetric.expected_results()
         self.assertDictEqual(expected_results, metric.compute(predictions=preds, references=refs))
+
+        metric.info.features = [
+            Features({"predictions": Value("string"), "references": Value("string")}),
+            Features({"predictions": Value("int64"), "references": Value("int64")}),
+        ]
+
+        preds, refs = DummyMetric.predictions_and_references()
+        expected_results = DummyMetric.expected_results()
+        self.assertDictEqual(expected_results, metric.compute(predictions=preds, references=refs))
+
         del metric